scholarly journals The Temporal Relationship Between Sleep Duration and Blood Lipids in Chinese Middle-aged and Elderly Individuals: Evidence From CHARLS

2021 ◽  
Author(s):  
Yilei Ma ◽  
Ziwei Chen ◽  
Yanran Duan ◽  
Tingting Mo ◽  
Wenli Liu ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Temporal Relationship ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density Lipoprotein Cholesterol ◽  
Middle Aged ◽  
Elderly Individuals ◽  
Path Coefficients

Abstract Background: To explore the temporal relationship between blood lipids and sleep duration and clarify their potential causality in Chinese middle-aged and elderly individuals.Methods: We used medical examinations and questionnaire data of 5016 Chinese middle-aged and elderly individuals in 2011 and 2015. Cross-lagged path analysis was performed to examine the potential bidirectional relationships between blood lipids and sleep duration.Results: In total population, significant bidirectional relationship was observed between sleep duration and high-density lipoprotein cholesterol level and the path coefficients were -0.171 (P = 0.005) and -0.006 (P = 0.002). In contrast, there was a positive correlation between and sleep duration, and the path coefficient from triglycerides to sleep duration 4 year later (O = 0.001, P = 0.018) was greater than that from sleep duration to triglycerides 4 year later (b = 0.109, P = 0.847), with P = 0.030 for the difference between j and e. Longer sleep duration was associated lower levels of low-density lipoprotein cholesterol (c = -0.275, P = 0.097) and total cholesterol (t = -0.329, P = 0.096) 4 year later. In stratified analysis, effects of sleep duration on blood lipids were only observed among individuals aged < 60 years, while the effect in the opposite direction was observed in elderly individuals, and the cross-lagged path coefficients were more significant in adults with BMI > 25.Conclusions: Temporal relationships between sleep duration and high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, and triglycerides were different. The strength and direction of the relationships may be related to age and BMI.

scholarly journals Blood Lipids and Its Atherogenic Indices in Alloxan Induced Diabetic Male Rats

2020 ◽  
pp. 25-33
Author(s):  
O. D. Chikezie ◽  
S. C. Meludu ◽  
I. S. I. Ogbu ◽  
B. N. Egejuru ◽  
T. Ude ◽  
...  
Keyword(s):  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Diabetic Control ◽  
Diabetic Rats ◽  
Lipoprotein Cholesterol ◽  
Male Rats ◽  
Low Density Lipoprotein Cholesterol ◽  
Atherogenic Indices ◽  
Diabetes Induction

Background: Diabetes mellitus is a group of metabolic disorders which result to excessive accumulation of blood sugar over a prolonged period. Due to higher risk of diabetes mellitus to cardiovascular disease, it is crucial to identify and address these cardiovascular risks. This study assessed the effects of diabetes on levels of some blood lipids and its atherogenic indices in diabetic male rats. Methods: This is an experimental study that involved 40 apparently healthy adult male albino rats (wistar strain) which were randomly assigned to five groups (A, B, C, D and E) of eight (8) animals each. Group A (Normal Control of No intervention for 72 hours), Group B (Diabetic rats of 72 hours post diabetes induction), Group C (metformin treated diabetic rats), Group D (Diabetic Control untreated) and Group E (Normal Control of 3 weeks post diabetes induction). Seven milliliters of fasting blood sample were collected from all the subjects. Serum levels of total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-c), low density lipoprotein cholesterol (LDL-c) and very low density lipoprotein cholesterol (VLDL-c) were determined using standard methods. Atherogenic indices, non HDL cholesterol (Non HDL-c), cardio risk ratio (CRR), atherogenic index of plasma (AIP), atherogenic coefficient (AC) and atherosclerosis index (AI) were calculated. It was analyzed statistically using SPSS version 23.0. Results: The mean values of HDL-c was significantly higher in the treated diabetic group when compared with untreated diabetic control (P<0.05) while TC, TG, LDL-c, VLDL-c, Non HDL-c, CRR, AIP, AC and AI were significantly lower in treated diabetics when compared to the untreated diabetic control (P<0.05). Also, blood mean levels of HDL-c were significantly lower in the diabetic groups (treated and untreated) when compared with non diabetic control (P<0.05) while TC, TG, LDL-c, VLDL-c, Non HDL-c, CRR, AIP, AC and AI were significantly higher in the diabetic groups (treated and untreated) when compared with non diabetic control (P<0.05). Conclusion: The study suggests that atherogenic indices can serve as predictive pointer for future cardiovascular event especially, when LDLc value is normal. Also hyperglycemia could cause significant alterations of lipids, but metformin treatment has showed not only hypoglycemic effect, but also anti-hyperlipidemic properties.

The Effects of Cigarette Smoking and Alcohol Consumption on Blood Lipids: A Dose-Related Study on Men

1996 ◽  
Vol 33 (2) ◽  
pp. 99-106 ◽  
Author(s):  
T P Whitehead ◽  
D Robinson ◽  
S L Allaway
Keyword(s):  
Alcohol Consumption ◽  
Cigarette Smoking ◽  
Total Cholesterol ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Drinking Alcohol ◽  
Low Density Lipoprotein Cholesterol ◽  
C Value

The separate and joint effects of cigarette smoking and alcohol consumption on serum concentrations of total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides were investigated in 46 750 men attending the BUPA Health Screening Centre in London during the period 1983–1987, after allowing for differences in age, body mass index and exercise level. Drinking alcohol was found to raise both total cholesterol and HDL-C concentrations, in such a way that HDL-C as a percentage of total cholesterol increased with increasing alcohol consumption. LDL-C concentrations increased with increasing alcohol consumption in non-smokers, but decreased in those smoking over 10 cigarettes per day. Drinking had no significant effect on triglycerides except at high levels of consumption. Smoking raised total cholesterol, LDL-C and triglycerides, but lowered HDL-C concentrations. In particular, smoking even small amounts could negate any protective benefit in HDL-C concentrations gained from moderate consumption of alcohol. Assuming a desirable lipid profile to consist of low total cholesterol, LDL-C and triglycerides and a high HDL-C value, this is best achieved for men by being a non-smoking moderate drinker.

scholarly journals Low-Density Lipoprotein Cholesterol 4: The Notable Risk Factor of Coronary Artery Disease Development

2021 ◽  
Vol 8 ◽  
Author(s):  
Dongmei Wu ◽  
Qiuju Yang ◽  
Baohua Su ◽  
Jia Hao ◽  
Huirong Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Artery Disease ◽  
Cad Risk

Background: Coronary artery disease (CAD) is the leading cause of death worldwide, which has a long asymptomatic period of atherosclerosis. Thus, it is crucial to develop efficient strategies or biomarkers to assess the risk of CAD in asymptomatic individuals.Methods: A total of 356 consecutive CAD patients and 164 non-CAD controls diagnosed using coronary angiography were recruited. Blood lipids, other baseline characteristics, and clinical information were investigated in this study. In addition, low-density lipoprotein cholesterol (LDL-C) subfractions were classified and quantified using the Lipoprint system. Based on these data, we performed comprehensive analyses to investigate the risk factors for CAD development and to predict CAD risk.Results: Triglyceride, LDLC-3, LDLC-4, LDLC-5, LDLC-6, and total small and dense LDL-C were significantly higher in the CAD patients than those in the controls, whereas LDLC-1 and high-density lipoprotein cholesterol (HDL-C) had significantly lower levels in the CAD patients. Logistic regression analysis identified male [odds ratio (OR) = 2.875, P &lt; 0.001], older age (OR = 1.018, P = 0.025), BMI (OR = 1.157, P &lt; 0.001), smoking (OR = 4.554, P &lt; 0.001), drinking (OR = 2.128, P &lt; 0.016), hypertension (OR = 4.453, P &lt; 0.001), and diabetes mellitus (OR = 8.776, P &lt; 0.001) as clinical risk factors for CAD development. Among blood lipids, LDLC-3 (OR = 1.565, P &lt; 0.001), LDLC-4 (OR = 3.566, P &lt; 0.001), and LDLC-5 (OR = 6.866, P &lt; 0.001) were identified as risk factors. To predict CAD risk, six machine learning models were constructed. The XGboost model showed the highest AUC score (0.945121), which could distinguish CAD patients from the controls with a high accuracy. LDLC-4 played the most important role in model construction.Conclusions: The established models showed good performance for CAD risk prediction, which can help screen high-risk CAD patients in asymptomatic population, so that further examination and prevention treatment might be taken before any sudden or serious event.

scholarly journals ADVERSE EFFECT OF INSOMNIA ON BLOOD LIPIDS IN PATIENTS WITH HYPERTENSION

2021 ◽  
pp. 33-40
Author(s):  
Anna Isayeva ◽  
Olena Buriakovska ◽  
Oleksander Martynenko ◽  
Sergiy Ostropolets
Keyword(s):  
Statistical Model ◽  
Total Cholesterol ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Model Accuracy ◽  
Patient Interview

Insomnia is a risk factor for the development of arterial hypertension, obesity, type 2 diabetes mellitus, cardiac rhythm disorders, and myocardial infarction. At the same time, insomnia is one of the most frequent non-cardiac complaints in patients with cardiovascular diseases. The aim of the work was to study the presence of possible relationships between insomnia and the level of blood lipids. Materials and methods. A cross-sectional study involving 118 patients was conducted. Criteria for inclusion in the study were age over 45 years, the presence of essential hypertension. All patients included the study underwent sampling of 7 ml of venous blood in the morning under fasting conditions. The content of total cholesterol (TCS), triglycerides (TG), high-density lipoprotein cholesterol (HDL CS) was determined by enzymatic method on a biochemical analyser Humalyzer 2000. The patient was interviewed by a pre-trained study doctor.  Results. In the article a relationship between total cholesterol, low-density lipoprotein cholesterol and the presence of insomnia has been established and proved by statistical model. The overall statistical model accuracy is 89.6 % and statistical significance p < 0.005. Accuracy of insomnia prediction is 85.7 % by level of total cholesterol (TCS) and patient interview data. Only one model with best accuracy exists and it was estimated at the article. Conclusions. Relationship between total cholesterol, low-density lipoprotein cholesterol and the presence of insomnia has been established and proved by statistical model. Accuracy of insomnia prediction is 85.7 % by level of total cholesterol (TCS) and patient interview data.

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